search

ericmjl / Network-Analysis-Made-Simple

An introduction to network analysis and applied graph theory using Python and NetworkX
https://ericmjl.github.io/Network-Analysis-Made-Simple/index.html
MIT License
1.04k stars 401 forks source link

Scheduled weekly dependency update for week 13 #396

Closed pyup-bot closed 7 months ago

pyup-bot commented 7 months ago

Update ipykernel from 6.26.0 to 6.29.4.

Changelog ### 6.29.3 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.29.2...de2221ce155668c343084fde37b77fb6b1671dc9)) Enhancements made - Eventloop scheduling improvements for stop_on_error_timeout and schedule_next [1212](https://github.com/ipython/ipykernel/pull/1212) ([jdranczewski](https://github.com/jdranczewski)) Bugs fixed - Disable frozen modules by default, add a toggle [1213](https://github.com/ipython/ipykernel/pull/1213) ([krassowski](https://github.com/krassowski)) Maintenance and upkeep improvements - Fix typings and update project urls [1214](https://github.com/ipython/ipykernel/pull/1214) ([blink1073](https://github.com/blink1073)) - Unpin pytest-asyncio and update ruff config [1209](https://github.com/ipython/ipykernel/pull/1209) ([blink1073](https://github.com/blink1073)) Documentation improvements - Correct spelling mistake [1208](https://github.com/ipython/ipykernel/pull/1208) ([joouha](https://github.com/joouha)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2024-02-07&to=2024-02-26&type=c)) [blink1073](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ablink1073+updated%3A2024-02-07..2024-02-26&type=Issues) | [ccordoba12](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Accordoba12+updated%3A2024-02-07..2024-02-26&type=Issues) | [jdranczewski](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ajdranczewski+updated%3A2024-02-07..2024-02-26&type=Issues) | [joouha](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ajoouha+updated%3A2024-02-07..2024-02-26&type=Issues) | [krassowski](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Akrassowski+updated%3A2024-02-07..2024-02-26&type=Issues) <!-- <END NEW CHANGELOG ENTRY> --> ``` ### 6.29.2 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.29.1...d45fe71990d26c0bd5b7b3b2a4ccd3d1f6609899)) Bugs fixed - Fix: ipykernel_launcher, delete absolute sys.path\[0\] [1206](https://github.com/ipython/ipykernel/pull/1206) ([stdll00](https://github.com/stdll00)) Maintenance and upkeep improvements - Re-enable skipped debugger test [1207](https://github.com/ipython/ipykernel/pull/1207) ([ianthomas23](https://github.com/ianthomas23)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2024-02-06&to=2024-02-07&type=c)) [ianthomas23](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Aianthomas23+updated%3A2024-02-06..2024-02-07&type=Issues) | [stdll00](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Astdll00+updated%3A2024-02-06..2024-02-07&type=Issues) ``` ### 6.29.1 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.29.0...09c9b2ad9c15202c5d1896ba24ec978b726c073b)) Bugs fixed - fix: on exception, return a 0, so that the "sum" still computes [1204](https://github.com/ipython/ipykernel/pull/1204) ([petervandenabeele](https://github.com/petervandenabeele)) - Fix handling of "silent" in execute request [1200](https://github.com/ipython/ipykernel/pull/1200) ([Haadem](https://github.com/Haadem)) Maintenance and upkeep improvements - chore: update pre-commit hooks [1205](https://github.com/ipython/ipykernel/pull/1205) ([pre-commit-ci](https://github.com/pre-commit-ci)) - Do git ignore of /node_modules/.cache [1203](https://github.com/ipython/ipykernel/pull/1203) ([petervandenabeele](https://github.com/petervandenabeele)) - Bump the actions group with 1 update [1201](https://github.com/ipython/ipykernel/pull/1201) ([dependabot](https://github.com/dependabot)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2024-01-16&to=2024-02-06&type=c)) [dependabot](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Adependabot+updated%3A2024-01-16..2024-02-06&type=Issues) | [Haadem](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3AHaadem+updated%3A2024-01-16..2024-02-06&type=Issues) | [petervandenabeele](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Apetervandenabeele+updated%3A2024-01-16..2024-02-06&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Apre-commit-ci+updated%3A2024-01-16..2024-02-06&type=Issues) ``` ### 6.29.0 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.28.0...84955484ec1636ee4c7611471d20df2016b5cb57)) Enhancements made - Always set debugger to true in kernelspec [1191](https://github.com/ipython/ipykernel/pull/1191) ([ianthomas23](https://github.com/ianthomas23)) Bugs fixed - Revert "Enable `ProactorEventLoop` on windows for `ipykernel`" [1194](https://github.com/ipython/ipykernel/pull/1194) ([blink1073](https://github.com/blink1073)) - Make outputs go to correct cell when generated in threads/asyncio [1186](https://github.com/ipython/ipykernel/pull/1186) ([krassowski](https://github.com/krassowski)) Maintenance and upkeep improvements - Pin pytest-asyncio to 0.23.2 [1189](https://github.com/ipython/ipykernel/pull/1189) ([ianthomas23](https://github.com/ianthomas23)) - chore: update pre-commit hooks [1187](https://github.com/ipython/ipykernel/pull/1187) ([pre-commit-ci](https://github.com/pre-commit-ci)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2023-12-26&to=2024-01-16&type=c)) [blink1073](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ablink1073+updated%3A2023-12-26..2024-01-16&type=Issues) | [ianthomas23](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Aianthomas23+updated%3A2023-12-26..2024-01-16&type=Issues) | [krassowski](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Akrassowski+updated%3A2023-12-26..2024-01-16&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Apre-commit-ci+updated%3A2023-12-26..2024-01-16&type=Issues) ``` ### 6.28.0 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.27.1...de45c7a49e197f0889f867f33f24cce322768a0e)) Enhancements made - Enable `ProactorEventLoop` on windows for `ipykernel` [1184](https://github.com/ipython/ipykernel/pull/1184) ([NewUserHa](https://github.com/NewUserHa)) - Adds a flag in debug_info for the copyToGlobals support [1099](https://github.com/ipython/ipykernel/pull/1099) ([brichet](https://github.com/brichet)) Maintenance and upkeep improvements - Support python 3.12 [1185](https://github.com/ipython/ipykernel/pull/1185) ([blink1073](https://github.com/blink1073)) - Bump actions/setup-python from 4 to 5 [1181](https://github.com/ipython/ipykernel/pull/1181) ([dependabot](https://github.com/dependabot)) - chore: update pre-commit hooks [1179](https://github.com/ipython/ipykernel/pull/1179) ([pre-commit-ci](https://github.com/pre-commit-ci)) - Refactor execute_request to reduce redundancy and improve consistency [1177](https://github.com/ipython/ipykernel/pull/1177) ([jjvraw](https://github.com/jjvraw)) Documentation improvements - Update pytest commands in README [1178](https://github.com/ipython/ipykernel/pull/1178) ([ianthomas23](https://github.com/ianthomas23)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2023-11-27&to=2023-12-26&type=c)) [blink1073](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ablink1073+updated%3A2023-11-27..2023-12-26&type=Issues) | [brichet](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Abrichet+updated%3A2023-11-27..2023-12-26&type=Issues) | [dependabot](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Adependabot+updated%3A2023-11-27..2023-12-26&type=Issues) | [ianthomas23](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Aianthomas23+updated%3A2023-11-27..2023-12-26&type=Issues) | [jjvraw](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ajjvraw+updated%3A2023-11-27..2023-12-26&type=Issues) | [NewUserHa](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3ANewUserHa+updated%3A2023-11-27..2023-12-26&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Apre-commit-ci+updated%3A2023-11-27..2023-12-26&type=Issues) ``` ### 6.27.1 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.27.0...f9c517e868462d05d6854204c2ad0a244db1cd19)) Bugs fixed - Fix edit magic payload type [1171](https://github.com/ipython/ipykernel/pull/1171) ([blink1073](https://github.com/blink1073)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2023-11-21&to=2023-11-27&type=c)) [blink1073](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ablink1073+updated%3A2023-11-21..2023-11-27&type=Issues) ``` ### 6.27.0 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.26.0...465d34483103d23f471a4795fe5fabb9cf7ac3f5)) Enhancements made - Extend argument handling of do_execute with cell metadata [1169](https://github.com/ipython/ipykernel/pull/1169) ([jjvraw](https://github.com/jjvraw)) Maintenance and upkeep improvements - Update ruff and typings [1167](https://github.com/ipython/ipykernel/pull/1167) ([blink1073](https://github.com/blink1073)) - Clean up ruff config [1165](https://github.com/ipython/ipykernel/pull/1165) ([blink1073](https://github.com/blink1073)) - chore: update pre-commit hooks [1164](https://github.com/ipython/ipykernel/pull/1164) ([pre-commit-ci](https://github.com/pre-commit-ci)) - Clean up typing config [1163](https://github.com/ipython/ipykernel/pull/1163) ([blink1073](https://github.com/blink1073)) - Update typing for traitlets 5.13 [1162](https://github.com/ipython/ipykernel/pull/1162) ([blink1073](https://github.com/blink1073)) - Adopt ruff format [1161](https://github.com/ipython/ipykernel/pull/1161) ([blink1073](https://github.com/blink1073)) - Update typing for jupyter_client 8.5 [1160](https://github.com/ipython/ipykernel/pull/1160) ([blink1073](https://github.com/blink1073)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2023-10-24&to=2023-11-21&type=c)) [blink1073](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ablink1073+updated%3A2023-10-24..2023-11-21&type=Issues) | [jjvraw](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ajjvraw+updated%3A2023-10-24..2023-11-21&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Apre-commit-ci+updated%3A2023-10-24..2023-11-21&type=Issues) ```
Links - PyPI: https://pypi.org/project/ipykernel - Changelog: https://data.safetycli.com/changelogs/ipykernel/

Update matplotlib from 3.8.1 to 3.8.3.

Changelog ### 3.8.3 ``` This is the third micro release of the 3.8 series. Highlights of the 3.8.3 release include: - Improvements to the MacOS backend - Fix hanging on `plt.pause` - Fix warnings about "Secure coding is not enabled for restorable state" - Fix crash at exit for PGF backend ``` ### 3.8.2 ``` This is the second bugfix release of the 3.8 series. Highlights of this release include: - Fix a segfault in the MacOS backend when running on Python 3.12 - Fix Contour labeling manual positions selecting incorrect contours. - Various documentation improvements ```
Links - PyPI: https://pypi.org/project/matplotlib - Changelog: https://data.safetycli.com/changelogs/matplotlib/ - Homepage: https://matplotlib.org

Update mkdocs-material from 9.4.8 to 9.5.16.

Changelog ### 9.5.16 ``` - Updated Russian translations - Improved error handling and reporting in social plugin - Improved error handling and reporting in privacy plugin - Fixed blog plugin not allowing to use time in format strings - Fixed 6983: Social plugin crashes because of Google Fonts API change Thanks to kamilkrzyskow, Guts, szg-alex-payne and natakazakova for their contributions ``` ### 9.5.15 ``` - Reverted fix for transparent iframes (9.5.14) - Fixed 6929: Interference of social plugin and auto dark mode - Fixed 6938: Giscus shows dark background in light mode (9.5.14 regression) ``` ### 9.5.14 ``` - Added support for hiding versions from selector when using mike - Added init system to improve signal handling in Docker image - Fixed edge cases in exclusion logic of info plugin - Fixed inability to reset pipeline in search plugin - Fixed syntax error in Finnish translations - Fixed 6917: UTF-8 encoding problems in blog plugin on Windows - Fixed 6889: Transparent iframes get background color Thanks to kamilkrzyskow, yubiuser and todeveni for their contributions ``` ### 9.5.13 ``` - Updated Slovak translations - Improved info plugin interop with projects plugin - Improved info plugin inclusion/exclusion logic - Fixed info plugin not gathering files recursively - Fixed 6750: Ensure info plugin packs up all necessary files Thanks to kamilkrzyskow and scepka for their contributions ``` ### 9.5.12 ``` - Fixed 6846: Some meta tags removed on instant navigation (9.4.2 regression) - Fixed 6823: KaTex not rendering on instant navigation (9.5.5 regression) - Fixed 6821: Privacy plugin doesn't handle URLs with encoded characters ``` ### 9.5.11 ``` - Updated Finnish translation ``` ### 9.5.10 ``` - Updated Bahasa Malaysia translations - Fixed 6783: Hide continue reading link for blog posts without separators - Fixed 6779: Incorrect positioning of integrated table of contents ``` ### 9.5.9 ``` - Fixed navigation pruning with tabs and sections enabled ``` ### 9.5.8 ``` - Added Tamil translations - Updated Esperanto translations - Fixed relative images not being resolved for instant navigation ``` ### 9.5.7 ``` - Fixed 6731: Small images in figures are not centered - Fixed 6719: Instant navigation breaks table of contents (9.5.5 regression) ``` ### 9.5.6 ``` - Fixed 6700: Missing styles for Mermaid.js labels with Markdown ``` ### 9.5.5 ``` - Updated Tagalog translations - Updated Pillow to 10.2 to mitigate security vulnerabilities - Improved resilience of instant navigation - Fixed 6687: Updated Mermaid.js to version 10.7.0 (latest) - Fixed 6652: Keyboard events in custom elements captured - Fixed 6582: Instant navigation doesn't correctly handle alternate URLs - Fixed 6565: Instant navigation doesn't allow for `onclick` handlers - Fixed 6345: Instant navigation sometimes breaks browser back button - Fixed 6334: Instant navigation doesn't correctly position anchors (Safari) - Fixed 6275: Instant navigation doesn't correctly resolve after 404 - Fixed 6102: Instant navigation reloads page on same link navigation ``` ### 9.5.4 ``` - Fixed 6645: Local storage with invalid value can break site - Fixed 6635: Tags icons before default ignored if default is set ``` ### 9.5.3 ``` - Limited version range of MkDocs to < 1.6 - Updated Macedonian translations - Fixed 6520: Group plugin crashes when using mike - Fixed 6494: Hide author's email address if disabled in git-authors plugin ``` ### 9.5.2 ``` - Fixed types for `slugify` settings in blog plugin config - Fixed 6469: Horizontal scrollbars on MathJax containers ``` ### 9.5.1 ``` - Updated Greek translations - Fixed 6464: Privacy plugin cannot be enabled - Fixed 6461: Sorting blog posts ignores time component in date ``` ### 9.5.0 ``` Merged Insiders features of 'Goat's Horn' funding goal - Added privacy plugin: automatic downloading of external assets - Added support for card grids and grid layouts - Added support for improved tooltips - Added support for content tabs anchor links (deep linking) - Added support for automatic dark/light mode - Added support for document contributors ``` ### 9.4.14 ``` - Added support for linking authors in blog posts ``` ### 9.4.13 ``` - Fixed 6365: Blog plugin pagination links to previous pages broken - Fixed 5758: Updated Mermaid.js to version 10.6.1 (latest) ``` ### 9.4.12 ``` - Improved blog plugin to generate Unicode-aware slugs by default - Fixed non-deterministic order of categories in blog plugin ``` ### 9.4.11 ``` - Fixed 6364: Search plugin crashing when enabling theme while serving - Fixed blog plugin crashing when disabling pagination ``` ### 9.4.10 ``` - Fixed 6356: Version selector can't be disabled via mike's configuration - Fixed 6281: Navigation not rendering due to Safari bug (9.4.2 regression) - Fixed 6261: Navigation expansion animates on first load (9.4.2 regression) ``` ### 9.4.9 ``` - Fixed 6344: Long entries cutoff in table of contents - Fixed 6336: Custom template for glob archive not working with pagination - Fixed 6328: Blog plugin crashes for locales with dashes, e.g. `pt-BR` - Fixed 6327: Copy-to-clipboard button doesn't trim trailing line feed - Fixed 6302: Version strings not matched when using mike, only aliases - Fixed instant navigation progress indicator for gzipped content in Chrome - Fixed rendering bug on details marker rotation in Firefox ```
Links - PyPI: https://pypi.org/project/mkdocs-material - Changelog: https://data.safetycli.com/changelogs/mkdocs-material/

Update nbconvert from 7.11.0 to 7.16.3.

Changelog ### 7.16.3 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.16.2...9019037e300dfdbac5a8cb330d0b09eb82e12f62)) Maintenance and upkeep improvements - Remove pytest pin [2129](https://github.com/jupyter/nbconvert/pull/2129) ([blink1073](https://github.com/blink1073)) - Add Compatibility with Pandoc 2.9.2 [2128](https://github.com/jupyter/nbconvert/pull/2128) ([blink1073](https://github.com/blink1073)) - Pin to Pytest 7 [2124](https://github.com/jupyter/nbconvert/pull/2124) ([blink1073](https://github.com/blink1073)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2024-03-04&to=2024-03-21&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2024-03-04..2024-03-21&type=Issues) <!-- <END NEW CHANGELOG ENTRY> --> ``` ### 7.16.2 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.16.1...8dac97afa73d59e6afcad04ca076355576b6eb51)) Bugs fixed - \[HTMLExporter\] Initialize resources before widget filtering [2118](https://github.com/jupyter/nbconvert/pull/2118) ([yuvipanda](https://github.com/yuvipanda)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2024-02-19&to=2024-03-04&type=c)) [yuvipanda](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ayuvipanda+updated%3A2024-02-19..2024-03-04&type=Issues) ``` ### 7.16.1 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.16.0...443b30703078e6f7d5b1044f25fb77e219136aac)) Maintenance and upkeep improvements - Fix permissions for prep release workflow [2112](https://github.com/jupyter/nbconvert/pull/2112) ([blink1073](https://github.com/blink1073)) - Update publish workflow [2111](https://github.com/jupyter/nbconvert/pull/2111) ([blink1073](https://github.com/blink1073)) - fix for tests/ dir not in sys.path, closes 2066 [2108](https://github.com/jupyter/nbconvert/pull/2108) ([ivanov](https://github.com/ivanov)) Documentation improvements - Update project description [2107](https://github.com/jupyter/nbconvert/pull/2107) ([ivanov](https://github.com/ivanov)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2024-02-07&to=2024-02-19&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2024-02-07..2024-02-19&type=Issues) | [ivanov](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Aivanov+updated%3A2024-02-07..2024-02-19&type=Issues) ``` ### 7.16.0 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.15.0...87db94d2d31d77ad16eef2285bb764e97a6f3c11)) Enhancements made - Add a toggle to skip the svg encoding of images [2106](https://github.com/jupyter/nbconvert/pull/2106) ([gwincr11](https://github.com/gwincr11)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2024-02-06&to=2024-02-07&type=c)) [gwincr11](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Agwincr11+updated%3A2024-02-06..2024-02-07&type=Issues) ``` ### 7.15.0 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.14.2...dff141e8c8b392b89eed0adbf035f33810706750)) Enhancements made - Support configurable width and height of reveal presentations [2104](https://github.com/jupyter/nbconvert/pull/2104) ([franzhaas](https://github.com/franzhaas)) Maintenance and upkeep improvements - chore: update pre-commit hooks [2105](https://github.com/jupyter/nbconvert/pull/2105) ([pre-commit-ci](https://github.com/pre-commit-ci)) - handle xhtml void elements in mermaid diagrams [2103](https://github.com/jupyter/nbconvert/pull/2103) ([bollwyvl](https://github.com/bollwyvl)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2024-01-16&to=2024-02-06&type=c)) [bollwyvl](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Abollwyvl+updated%3A2024-01-16..2024-02-06&type=Issues) | [franzhaas](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Afranzhaas+updated%3A2024-01-16..2024-02-06&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Apre-commit-ci+updated%3A2024-01-16..2024-02-06&type=Issues) ``` ### 7.14.2 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.14.1...9d8a7a8771d0349e49328efb7fc2b8fb99c7cc1f)) Maintenance and upkeep improvements - update to mermaid 10.7.0 [2098](https://github.com/jupyter/nbconvert/pull/2098) ([bollwyvl](https://github.com/bollwyvl)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2024-01-11&to=2024-01-16&type=c)) [bollwyvl](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Abollwyvl+updated%3A2024-01-11..2024-01-16&type=Issues) ``` ### 7.14.1 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.14.0...dedd81acdde7c96204d01f1392af896d2e6dbe1b)) Bugs fixed - Fix broken image scaling in case a custom width or height is provided for the image [2094](https://github.com/jupyter/nbconvert/pull/2094) ([AndSte01](https://github.com/AndSte01)) Maintenance and upkeep improvements - Allow pre-fetch of css files without attempting download [2095](https://github.com/jupyter/nbconvert/pull/2095) ([AlexanderRichert-NOAA](https://github.com/AlexanderRichert-NOAA)) - Bump the actions group with 1 update [2091](https://github.com/jupyter/nbconvert/pull/2091) ([dependabot](https://github.com/dependabot)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2024-01-01&to=2024-01-11&type=c)) [AlexanderRichert-NOAA](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3AAlexanderRichert-NOAA+updated%3A2024-01-01..2024-01-11&type=Issues) | [AndSte01](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3AAndSte01+updated%3A2024-01-01..2024-01-11&type=Issues) | [dependabot](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Adependabot+updated%3A2024-01-01..2024-01-11&type=Issues) ``` ### 7.14.0 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.13.1...0f17b3069d320565af12a4a12da7d9ce3c18dac4)) Enhancements made - Convert `coalescese_streams` function to `CoalesceStreamsPreprocessor` [2089](https://github.com/jupyter/nbconvert/pull/2089) ([ryan-williams](https://github.com/ryan-williams)) Maintenance and upkeep improvements - chore: update pre-commit hooks [2090](https://github.com/jupyter/nbconvert/pull/2090) ([pre-commit-ci](https://github.com/pre-commit-ci)) - Fix webpdf test on Python 3.12 [2088](https://github.com/jupyter/nbconvert/pull/2088) ([blink1073](https://github.com/blink1073)) - Clean up import [2087](https://github.com/jupyter/nbconvert/pull/2087) ([blink1073](https://github.com/blink1073)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2023-12-21&to=2024-01-01&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2023-12-21..2024-01-01&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Apre-commit-ci+updated%3A2023-12-21..2024-01-01&type=Issues) | [ryan-williams](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Aryan-williams+updated%3A2023-12-21..2024-01-01&type=Issues) ``` ### 7.13.1 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.13.0...15b2bc2e215bc3d0ab37508eeeb624ede5da0d36)) Bugs fixed - Restore removed import [2086](https://github.com/jupyter/nbconvert/pull/2086) ([blink1073](https://github.com/blink1073)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2023-12-18&to=2023-12-21&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2023-12-18..2023-12-21&type=Issues) ``` ### 7.13.0 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.12.0...c72ad76251d50c9cf3139e23922e9ef3441e9860)) Enhancements made - Add table, td, tr to allowed list of tags [2083](https://github.com/jupyter/nbconvert/pull/2083) ([yuvipanda](https://github.com/yuvipanda)) Maintenance and upkeep improvements - Remove twitter links that cause linkcheck to fail [2084](https://github.com/jupyter/nbconvert/pull/2084) ([yuvipanda](https://github.com/yuvipanda)) - Update ruff config [2079](https://github.com/jupyter/nbconvert/pull/2079) ([blink1073](https://github.com/blink1073)) - chore: update pre-commit hooks [2076](https://github.com/jupyter/nbconvert/pull/2076) ([pre-commit-ci](https://github.com/pre-commit-ci)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2023-12-04&to=2023-12-18&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2023-12-04..2023-12-18&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Apre-commit-ci+updated%3A2023-12-04..2023-12-18&type=Issues) | [yuvipanda](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ayuvipanda+updated%3A2023-12-04..2023-12-18&type=Issues) ``` ### 7.12.0 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.11.0...4f6ab6583de771e74874e72ec88c7fe09a5d4b6b)) Enhancements made - Allow to load config from env. [2075](https://github.com/jupyter/nbconvert/pull/2075) ([Carreau](https://github.com/Carreau)) Maintenance and upkeep improvements - Use ruff on notebooks and update typings [2068](https://github.com/jupyter/nbconvert/pull/2068) ([blink1073](https://github.com/blink1073)) Documentation improvements - update Python version support in docs [2037](https://github.com/jupyter/nbconvert/pull/2037) ([minrk](https://github.com/minrk)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2023-11-06&to=2023-12-04&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2023-11-06..2023-12-04&type=Issues) | [Carreau](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3ACarreau+updated%3A2023-11-06..2023-12-04&type=Issues) | [gnestor](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Agnestor+updated%3A2023-11-06..2023-12-04&type=Issues) | [minrk](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Aminrk+updated%3A2023-11-06..2023-12-04&type=Issues) | [mpacer](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ampacer+updated%3A2023-11-06..2023-12-04&type=Issues) ```
Links - PyPI: https://pypi.org/project/nbconvert - Changelog: https://data.safetycli.com/changelogs/nbconvert/

Update numpy from 1.26.1 to 1.26.4.

Changelog ### 1.26.4 ``` discovered after the 1.26.3 release. The Python versions supported by this release are 3.9-3.12. This is the last planned release in the 1.26.x series. Contributors A total of 13 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - Charles Harris - Elliott Sales de Andrade - Lucas Colley + - Mark Ryan + - Matti Picus - Nathan Goldbaum - Ola x Nilsson + - Pieter Eendebak - Ralf Gommers - Sayed Adel - Sebastian Berg - Stefan van der Walt - Stefano Rivera Pull requests merged A total of 19 pull requests were merged for this release. - [25323](https://github.com/numpy/numpy/pull/25323): BUG: Restore missing asstr import - [25523](https://github.com/numpy/numpy/pull/25523): MAINT: prepare 1.26.x for further development - [25539](https://github.com/numpy/numpy/pull/25539): BUG: `numpy.array_api`: fix `linalg.cholesky` upper decomp\... - [25584](https://github.com/numpy/numpy/pull/25584): CI: Bump azure pipeline timeout to 120 minutes - [25585](https://github.com/numpy/numpy/pull/25585): MAINT, BLD: Fix unused inline functions warnings on clang - [25599](https://github.com/numpy/numpy/pull/25599): BLD: include fix for MinGW platform detection - [25618](https://github.com/numpy/numpy/pull/25618): TST: Fix test_numeric on riscv64 - [25619](https://github.com/numpy/numpy/pull/25619): BLD: fix building for windows ARM64 - [25620](https://github.com/numpy/numpy/pull/25620): MAINT: add `newaxis` to `__all__` in `numpy.array_api` - [25630](https://github.com/numpy/numpy/pull/25630): BUG: Use large file fallocate on 32 bit linux platforms - [25643](https://github.com/numpy/numpy/pull/25643): TST: Fix test_warning_calls on Python 3.12 - [25645](https://github.com/numpy/numpy/pull/25645): TST: Bump pytz to 2023.3.post1 - [25658](https://github.com/numpy/numpy/pull/25658): BUG: Fix AVX512 build flags on Intel Classic Compiler - [25670](https://github.com/numpy/numpy/pull/25670): BLD: fix potential issue with escape sequences in `__config__.py` - [25718](https://github.com/numpy/numpy/pull/25718): CI: pin cygwin python to 3.9.16-1 and fix typing tests \[skip\... - [25720](https://github.com/numpy/numpy/pull/25720): MAINT: Bump cibuildwheel to v2.16.4 - [25748](https://github.com/numpy/numpy/pull/25748): BLD: unvendor meson-python on 1.26.x and upgrade to meson-python\... - [25755](https://github.com/numpy/numpy/pull/25755): MAINT: Include header defining backtrace - [25756](https://github.com/numpy/numpy/pull/25756): BUG: Fix np.quantile(\[Fraction(2,1)\], 0.5) (#24711) Checksums MD5 90f33cdd8934cd07192d6ede114d8d4d numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl 63ac60767f6724490e587f6010bd6839 numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl ad4e82b225aaaf5898ea9798b50978d8 numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl d428e3da2df4fa359313348302cf003a numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 89937c3bb596193f8ca9eae2ff84181e numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl de4f9da0a4e6dfd4cec39c7ad5139803 numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl 2c1f73fd9b3acf4b9b0c23e985cdd38f numpy-1.26.4-cp310-cp310-win32.whl 920ad1f50e478b1a877fe7b7a46cc520 numpy-1.26.4-cp310-cp310-win_amd64.whl 719d1ff12db38903dcfd6749078fb11d numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl eb601e80194d2e1c00d8daedd8dc68c4 numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl 71a7ab11996fa370dc28e28731bd5c32 numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl eb0cdd03e1ee2eb45c57c7340c98cf48 numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 9d4ae1b0b27a625400f81ed1846a5667 numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl 1b6771350d2f496157430437a895ba4b numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl 1e4a18612ee4d0e54e0833574ebc6d25 numpy-1.26.4-cp311-cp311-win32.whl 5fd325dd8704023c1110835d7a1b095a numpy-1.26.4-cp311-cp311-win_amd64.whl d95ce582923d24dbddbc108aa5fd2128 numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl 6f16f3d70e0d95ce2b032167c546cc95 numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl 5369536d4c45fbe384147ff23185b48a numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1ceb224096686831ad731e472b65e96a numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl cd8d3c00bbc89f9bc07e2df762f9e2ae numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl 5bd81ce840bb2e42befe01efb0402b79 numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl 2cc3b0757228078395da3efa3dc99f23 numpy-1.26.4-cp312-cp312-win32.whl 305155bd5ae879344c58968879584ed1 numpy-1.26.4-cp312-cp312-win_amd64.whl ec2310f67215743e9c5d16b6c9fb87b6 numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl 406aea6081c1affbebdb6ad56b5deaf4 numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl fee12f0a3cbac7bbf1a1c2d82d3b02a9 numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl baf4b7143c7b9ce170e62b33380fb573 numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 376ff29f90b7840ae19ecd59ad1ddf53 numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl 86785b3a7cd156c08c2ebc26f7816fb3 numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl ab8a9ab69f16b7005f238cda76bc0bac numpy-1.26.4-cp39-cp39-win32.whl fafa4453e820c7ff40907e5dc79d8199 numpy-1.26.4-cp39-cp39-win_amd64.whl 7f13e2f07bd3e4a439ade0e4d27905c6 numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 928954b41c1cd0e856f1a31d41722661 numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 57bbd5c0b3848d804c416cbcab4a0ae8 numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl 19550cbe7bedd96a928da9d4ad69509d numpy-1.26.4.tar.gz SHA256 9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0 numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl 2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4 numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2 numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07 numpy-1.26.4-cp310-cp310-win32.whl b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5 numpy-1.26.4-cp310-cp310-win_amd64.whl 4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71 numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl 7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5 numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl 60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl 1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20 numpy-1.26.4-cp311-cp311-win32.whl cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2 numpy-1.26.4-cp311-cp311-win_amd64.whl b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218 numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl 03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl 9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl 1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0 numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl 50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110 numpy-1.26.4-cp312-cp312-win32.whl 08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 numpy-1.26.4-cp312-cp312-win_amd64.whl 7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl 52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764 numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3 numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl 47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 numpy-1.26.4-cp39-cp39-win32.whl 3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea numpy-1.26.4-cp39-cp39-win_amd64.whl afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl 2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 numpy-1.26.4.tar.gz ``` ### 1.26.3 ``` discovered after the 1.26.2 release. The most notable changes are the f2py bug fixes. The Python versions supported by this release are 3.9-3.12. Compatibility `f2py` will no longer accept ambiguous `-m` and `.pyf` CLI combinations. When more than one `.pyf` file is passed, an error is raised. When both `-m` and a `.pyf` is passed, a warning is emitted and the `-m` provided name is ignored. Improvements `f2py` now handles `common` blocks which have `kind` specifications from modules. This further expands the usability of intrinsics like `iso_fortran_env` and `iso_c_binding`. Contributors A total of 18 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - \DWesl - \Illviljan - Alexander Grund - Andrea Bianchi + - Charles Harris - Daniel Vanzo - Johann Rohwer + - Matti Picus - Nathan Goldbaum - Peter Hawkins - Raghuveer Devulapalli - Ralf Gommers - Rohit Goswami - Sayed Adel - Sebastian Berg - Stefano Rivera + - Thomas A Caswell - matoro Pull requests merged A total of 42 pull requests were merged for this release. - [25130](https://github.com/numpy/numpy/pull/25130): MAINT: prepare 1.26.x for further development - [25188](https://github.com/numpy/numpy/pull/25188): TYP: add None to `__getitem__` in `numpy.array_api` - [25189](https://github.com/numpy/numpy/pull/25189): BLD,BUG: quadmath required where available \[f2py\] - [25190](https://github.com/numpy/numpy/pull/25190): BUG: alpha doesn\'t use REAL(10) - [25191](https://github.com/numpy/numpy/pull/25191): BUG: Fix FP overflow error in division when the divisor is scalar - [25192](https://github.com/numpy/numpy/pull/25192): MAINT: Pin scipy-openblas version. - [25201](https://github.com/numpy/numpy/pull/25201): BUG: Fix f2py to enable use of string optional inout argument - [25202](https://github.com/numpy/numpy/pull/25202): BUG: Fix -fsanitize=alignment issue in numpy/\_core/src/multiarray/arraytypes.c.src - [25203](https://github.com/numpy/numpy/pull/25203): TST: Explicitly pass NumPy path to cython during tests (also\... - [25204](https://github.com/numpy/numpy/pull/25204): BUG: fix issues with `newaxis` and `linalg.solve` in `numpy.array_api` - [25205](https://github.com/numpy/numpy/pull/25205): BUG: Disallow shadowed modulenames - [25217](https://github.com/numpy/numpy/pull/25217): BUG: Handle common blocks with kind specifications from modules - [25218](https://github.com/numpy/numpy/pull/25218): BUG: Fix moving compiled executable to root with f2py -c on Windows - [25219](https://github.com/numpy/numpy/pull/25219): BUG: Fix single to half-precision conversion on PPC64/VSX3 - [25227](https://github.com/numpy/numpy/pull/25227): TST: f2py: fix issue in test skip condition - [25240](https://github.com/numpy/numpy/pull/25240): Revert \"MAINT: Pin scipy-openblas version.\" - [25249](https://github.com/numpy/numpy/pull/25249): MAINT: do not use `long` type - [25377](https://github.com/numpy/numpy/pull/25377): TST: PyPy needs another gc.collect on latest versions - [25378](https://github.com/numpy/numpy/pull/25378): CI: Install Lapack runtime on Cygwin. - [25379](https://github.com/numpy/numpy/pull/25379): MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1 - [25380](https://github.com/numpy/numpy/pull/25380): BLD: update vendored Meson for AIX shared library fix - [25419](https://github.com/numpy/numpy/pull/25419): MAINT: Init `base` in cpu_avx512_kn - [25420](https://github.com/numpy/numpy/pull/25420): BUG: Fix failing test_features on SapphireRapids - [25422](https://github.com/numpy/numpy/pull/25422): BUG: Fix non-contiguous memory load when ARM/Neon is enabled - [25428](https://github.com/numpy/numpy/pull/25428): MAINT,BUG: Never import distutils above 3.12 \[f2py\] - [25452](https://github.com/numpy/numpy/pull/25452): MAINT: make the import-time check for old Accelerate more specific - [25458](https://github.com/numpy/numpy/pull/25458): BUG: fix macOS version checks for Accelerate support - [25465](https://github.com/numpy/numpy/pull/25465): MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action - [25466](https://github.com/numpy/numpy/pull/25466): BUG: avoid seg fault from OOB access in RandomState.set_state() - [25467](https://github.com/numpy/numpy/pull/25467): BUG: Fix two errors related to not checking for failed allocations - [25468](https://github.com/numpy/numpy/pull/25468): BUG: Fix regression with `f2py` wrappers when modules and subroutines\... - [25475](https://github.com/numpy/numpy/pull/25475): BUG: Fix build issues on SPR - [25478](https://github.com/numpy/numpy/pull/25478): BLD: fix uninitialized variable warnings from simd/neon/memory.h - [25480](https://github.com/numpy/numpy/pull/25480): BUG: Handle `iso_c_type` mappings more consistently - [25481](https://github.com/numpy/numpy/pull/25481): BUG: Fix module name bug in signature files \[urgent\] \[f2py\] - [25482](https://github.com/numpy/numpy/pull/25482): BUG: Handle .pyf.src and fix SciPy \[urgent\] - [25483](https://github.com/numpy/numpy/pull/25483): DOC: `f2py` rewrite with `meson` details - [25485](https://github.com/numpy/numpy/pull/25485): BUG: Add external library handling for meson \[f2py\] - [25486](https://github.com/numpy/numpy/pull/25486): MAINT: Run f2py\'s meson backend with the same python that ran\... - [25489](https://github.com/numpy/numpy/pull/25489): MAINT: Update `numpy/f2py/_backends` from main. - [25490](https://github.com/numpy/numpy/pull/25490): MAINT: Easy updates of `f2py/*.py` from main. - [25491](https://github.com/numpy/numpy/pull/25491): MAINT: Update crackfortran.py and f2py2e.py from main Checksums MD5 7660db27715df261948e7f0f13634f16 numpy-1.26.3-cp310-cp310-macosx_10_9_x86_64.whl 98d5b98c822de4bed0cf1b0b8f367192 numpy-1.26.3-cp310-cp310-macosx_11_0_arm64.whl b71cd0710cec5460292a97a02fa349cd numpy-1.26.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 0f98a05c92598f849b1be2595f4a52a8 numpy-1.26.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl b866c6aea8070c0753b776d2b521e875 numpy-1.26.3-cp310-cp310-musllinux_1_1_aarch64.whl cfdde5868e469fb27655ea73b0b9593b numpy-1.26.3-cp310-cp310-musllinux_1_1_x86_64.whl 2655440d61671b5e32b049d30397c58f numpy-1.26.3-cp310-cp310-win32.whl 7718a5d33344784ca7821f3bdd467550 numpy-1.26.3-cp310-cp310-win_amd64.whl 28e4b2ed9192c392f792d88b3c246d1c numpy-1.26.3-cp311-cp311-macosx_10_9_x86_64.whl fb1ae72749463e2c82f0127699728364 numpy-1.26.3-cp311-cp311-macosx_11_0_arm64.whl 304dec822b508a1d495917610e7562bf numpy-1.26.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 2cc0d8b073dfd55946a60ba8ed4369f6 numpy-1.26.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl c99962375c599501820899c8ccab6960 numpy-1.26.3-cp311-cp311-musllinux_1_1_aarch64.whl 47ed42d067ce4863bbf1f40da61ba7d1 numpy-1.26.3-cp311-cp311-musllinux_1_1_x86_64.whl 3ab3757255feb54ca3793fb9db226586 numpy-1.26.3-cp311-cp311-win32.whl c33f2a4518bae535645357a08a93be1a numpy-1.26.3-cp311-cp311-win_amd64.whl bea43600aaff3a4d9978611ccfa44198 numpy-1.26.3-cp312-cp312-macosx_10_9_x86_64.whl c678d909ebe737fdabf215d8622ce2a3 numpy-1.26.3-cp312-cp312-macosx_11_0_arm64.whl 9f21f1875c92425cec1060564b3abb1c numpy-1.26.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl c44a1998965d45ec136078ee09d880f2 numpy-1.26.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 9274f5c51fa4f3c8fac5efa3d78acd63 numpy-1.26.3-cp312-cp312-musllinux_1_1_aarch64.whl 07c9f8f86f45077febc46c87ebc0b644 numpy-1.26.3-cp312-cp312-musllinux_1_1_x86_64.whl a4857b2f7b6a23bca41178bd344bb28a numpy-1.26.3-cp312-cp312-win32.whl 495d9534961d7b10f16fec4515a3d72b numpy-1.26.3-cp312-cp312-win_amd64.whl 6494f2d94fd1f184923a33e634692b5e numpy-1.26.3-cp39-cp39-macosx_10_9_x86_64.whl 515a7314a0ff6aaba8d53a7a1aaa73ab numpy-1.26.3-cp39-cp39-macosx_11_0_arm64.whl c856adc6a6a78773c43e9c738d662ed5 numpy-1.26.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 09848456158a01feff28f88c6106aef1 numpy-1.26.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl adec00ea2bc98580a436f82e188c0e2f numpy-1.26.3-cp39-cp39-musllinux_1_1_aarch64.whl 718bd35dd0431a6434bb30bf8d91d77d numpy-1.26.3-cp39-cp39-musllinux_1_1_x86_64.whl e813aa59cb807efb4a8fee52a6dd41ba numpy-1.26.3-cp39-cp39-win32.whl 08e1b0973d0ae5976b38563eaec1253f numpy-1.26.3-cp39-cp39-win_amd64.whl e8887a14750161709636e9fb87df4f36 numpy-1.26.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 0bdb19040525451553fb5758b65caf4c numpy-1.26.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl b931c14d06cc37d85d63ed1ddd88e875 numpy-1.26.3-pp39-pypy39_pp73-win_amd64.whl 1c915dc6c36dd4c674d9379e9470ff8b numpy-1.26.3.tar.gz SHA256 806dd64230dbbfaca8a27faa64e2f414bf1c6622ab78cc4264f7f5f028fee3bf numpy-1.26.3-cp310-cp310-macosx_10_9_x86_64.whl 02f98011ba4ab17f46f80f7f8f1c291ee7d855fcef0a5a98db80767a468c85cd numpy-1.26.3-cp310-cp310-macosx_11_0_arm64.whl 6d45b3ec2faed4baca41c76617fcdcfa4f684ff7a151ce6fc78ad3b6e85af0a6 numpy-1.26.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl bdd2b45bf079d9ad90377048e2747a0c82351989a2165821f0c96831b4a2a54b numpy-1.26.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 211ddd1e94817ed2d175b60b6374120244a4dd2287f4ece45d49228b4d529178 numpy-1.26.3-cp310-cp310-musllinux_1_1_aarch64.whl b1240f767f69d7c4c8a29adde2310b871153df9b26b5cb2b54a561ac85146485 numpy-1.26.3-cp310-cp310-musllinux_1_1_x86_64.whl 21a9484e75ad018974a2fdaa216524d64ed4212e418e0a551a2d83403b0531d3 numpy-1.26.3-cp310-cp310-win32.whl 9e1591f6ae98bcfac2a4bbf9221c0b92ab49762228f38287f6eeb5f3f55905ce numpy-1.26.3-cp310-cp310-win_amd64.whl b831295e5472954104ecb46cd98c08b98b49c69fdb7040483aff799a755a7374 numpy-1.26.3-cp311-cp311-macosx_10_9_x86_64.whl 9e87562b91f68dd8b1c39149d0323b42e0082db7ddb8e934ab4c292094d575d6 numpy-1.26.3-cp311-cp311-macosx_11_0_arm64.whl 8c66d6fec467e8c0f975818c1796d25c53521124b7cfb760114be0abad53a0a2 numpy-1.26.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl f25e2811a9c932e43943a2615e65fc487a0b6b49218899e62e426e7f0a57eeda numpy-1.26.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl af36e0aa45e25c9f57bf684b1175e59ea05d9a7d3e8e87b7ae1a1da246f2767e numpy-1.26.3-cp311-cp311-musllinux_1_1_aarch64.whl 51c7f1b344f302067b02e0f5b5d2daa9ed4a721cf49f070280ac202738ea7f00 numpy-1.26.3-cp311-cp311-musllinux_1_1_x86_64.whl 7ca4f24341df071877849eb2034948459ce3a07915c2734f1abb4018d9c49d7b numpy-1.26.3-cp311-cp311-win32.whl 39763aee6dfdd4878032361b30b2b12593fb445ddb66bbac802e2113eb8a6ac4 numpy-1.26.3-cp311-cp311-win_amd64.whl a7081fd19a6d573e1a05e600c82a1c421011db7935ed0d5c483e9dd96b99cf13 numpy-1.26.3-cp312-cp312-macosx_10_9_x86_64.whl 12c70ac274b32bc00c7f61b515126c9205323703abb99cd41836e8125ea0043e numpy-1.26.3-cp312-cp312-macosx_11_0_arm64.whl 7f784e13e598e9594750b2ef6729bcd5a47f6cfe4a12cca13def35e06d8163e3 numpy-1.26.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 5f24750ef94d56ce6e33e4019a8a4d68cfdb1ef661a52cdaee628a56d2437419 numpy-1.26.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 77810ef29e0fb1d289d225cabb9ee6cf4d11978a00bb99f7f8ec2132a84e0166 numpy-1.26.3-cp312-cp312-musllinux_1_1_aarch64.whl 8ed07a90f5450d99dad60d3799f9c03c6566709bd53b497eb9ccad9a55867f36 numpy-1.26.3-cp312-cp312-musllinux_1_1_x86_64.whl f73497e8c38295aaa4741bdfa4fda1a5aedda5473074369eca10626835445511 numpy-1.26.3-cp312-cp312-win32.whl da4b0c6c699a0ad73c810736303f7fbae483bcb012e38d7eb06a5e3b432c981b numpy-1.26.3-cp312-cp312-win_amd64.whl 1666f634cb3c80ccbd77ec97bc17337718f56d6658acf5d3b906ca03e90ce87f numpy-1.26.3-cp39-cp39-macosx_10_9_x86_64.whl 18c3319a7d39b2c6a9e3bb75aab2304ab79a811ac0168a671a62e6346c29b03f numpy-1.26.3-cp39-cp39-macosx_11_0_arm64.whl 0b7e807d6888da0db6e7e75838444d62495e2b588b99e90dd80c3459594e857b numpy-1.26.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl b4d362e17bcb0011738c2d83e0a65ea8ce627057b2fdda37678f4374a382a137 numpy-1.26.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl b8c275f0ae90069496068c714387b4a0eba5d531aace269559ff2b43655edd58 numpy-1.26.3-cp39-cp39-musllinux_1_1_aarch64.whl cc0743f0302b94f397a4a65a660d4cd24267439eb16493fb3caad2e4389bccbb numpy-1.26.3-cp39-cp39-musllinux_1_1_x86_64.whl 9bc6d1a7f8cedd519c4b7b1156d98e051b726bf160715b769106661d567b3f03 numpy-1.26.3-cp39-cp39-win32.whl 867e3644e208c8922a3be26fc6bbf112a035f50f0a86497f98f228c50c607bb2 numpy-1.26.3-cp39-cp39-win_amd64.whl 3c67423b3703f8fbd90f5adaa37f85b5794d3366948efe9a5190a5f3a83fc34e numpy-1.26.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 46f47ee566d98849323f01b349d58f2557f02167ee301e5e28809a8c0e27a2d0 numpy-1.26.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl a8474703bffc65ca15853d5fd4d06b18138ae90c17c8d12169968e998e448bb5 numpy-1.26.3-pp39-pypy39_pp73-win_amd64.whl 697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4 numpy-1.26.3.tar.gz ``` ### 1.26.2 ``` discovered after the 1.26.1 release. The 1.26.release series is the last planned minor release series before NumPy 2.0. The Python versions supported by this release are 3.9-3.12. Contributors A total of 13 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - \stefan6419846 - \thalassemia + - Andrew Nelson - Charles Bousseau + - Charles Harris - Marcel Bargull + - Mark Mentovai + - Matti Picus - Nathan Goldbaum - Ralf Gommers - Sayed Adel - Sebastian Berg - William Ayd + Pull requests merged A total of 25 pull requests were merged for this release. - [24814](https://github.com/numpy/numpy/pull/24814): MAINT: align test_dispatcher s390x targets with \_umath_tests_mtargets - [24929](https://github.com/numpy/numpy/pull/24929): MAINT: prepare 1.26.x for further development - [24955](https://github.com/numpy/numpy/pull/24955): ENH: Add Cython enumeration for NPY_FR_GENERIC - [24962](https://github.com/numpy/numpy/pull/24962): REL: Remove Python upper version from the release branch - [24971](https://github.com/numpy/numpy/pull/24971): BLD: Use the correct Python interpreter when running tempita.py - [24972](https://github.com/numpy/numpy/pull/24972): MAINT: Remove unhelpful error replacements from `import_array()` - [24977](https://github.com/numpy/numpy/pull/24977): BLD: use classic linker on macOS, the new one in XCode 15 has\... - [25003](https://github.com/numpy/numpy/pull/25003): BLD: musllinux_aarch64 \[wheel build\] - [25043](https://github.com/numpy/numpy/pull/25043): MAINT: Update mailmap - [25049](https://github.com/numpy/numpy/pull/25049): MAINT: Update meson build infrastructure. - [25071](https://github.com/numpy/numpy/pull/25071): MAINT: Split up .github/workflows to match main - [25083](https://github.com/numpy/numpy/pull/25083): BUG: Backport fix build on ppc64 when the baseline set to Power9\... - [25093](https://github.com/numpy/numpy/pull/25093): BLD: Fix features.h detection for Meson builds \[1.26.x Backport\] - [25095](https://github.com/numpy/numpy/pull/25095): BUG: Avoid intp conversion regression in Cython 3 (backport) - [25107](https://github.com/numpy/numpy/pull/25107): CI: remove obsolete jobs, and move macOS and conda Azure jobs\... - [25108](https://github.com/numpy/numpy/pull/25108): CI: Add linux_qemu action and remove travis testing. - [25112](https://github.com/numpy/numpy/pull/25112): MAINT: Update .spin/cmds.py from main. - [25113](https://github.com/numpy/numpy/pull/25113): DOC: Visually divide main license and bundled licenses in wheels - [25115](https://github.com/numpy/numpy/pull/25115): MAINT: Add missing `noexcept` to shuffle helpers - [25116](https://github.com/numpy/numpy/pull/25116): DOC: Fix license identifier for OpenBLAS - [25117](https://github.com/numpy/numpy/pull/25117): BLD: improve detection of Netlib libblas/libcblas/liblapack - [25118](https://github.com/numpy/numpy/pull/25118): MAINT: Make bitfield integers unsigned - [25119](https://github.com/numpy/numpy/pull/25119): BUG: Make n a long int for np.random.multinomial - [25120](https://github.com/numpy/numpy/pull/25120): BLD: change default of the `allow-noblas` option to true. - [25121](https://github.com/numpy/numpy/pull/25121): BUG: ensure passing `np.dtype` to itself doesn\'t crash Checksums MD5 1a5dc6b5b3bf11ad40a59eedb3b69fa1 numpy-1.26.2-cp310-cp310-macosx_10_9_x86_64.whl 4b741c6dfe4e6e22e34e9c5c788d4f04 numpy-1.26.2-cp310-cp310-macosx_11_0_arm64.whl 2953687fb26e1dd8a2d1bb7109551fcd numpy-1.26.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl ea9127a3a03f27fd101c62425c661d8d numpy-1.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 7a6be7c6c1cc3e1ff73f64052fe30677 numpy-1.26.2-cp310-cp310-musllinux_1_1_aarch64.whl 4f45d3f69f54fd1638609fde34c33a5c numpy-1.26.2-cp310-cp310-musllinux_1_1_x86_64.whl f22f5ea26c86eb126ff502fff75d6c21 numpy-1.26.2-cp310-cp310-win32.whl 49871452488e1a55d15ab54c6f3e546e numpy-1.26.2-cp310-cp310-win_amd64.whl 676740bf60fb1c8f5a6b31e00b9a4e9b numpy-1.26.2-cp311-cp311-macosx_10_9_x86_64.whl 7170545dcc2a38a1c2386a6081043b64 numpy-1.26.2-cp311-cp311-macosx_11_0_arm64.whl feae1190c73d811e2e7ebcad4baf6edf numpy-1.26.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 03131896abade61b77e0f6e53abb988a numpy-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl f160632f128a3fd46787aa02d8731fbb numpy-1.26.2-cp311-cp311-musllinux_1_1_aarch64.whl 014250db593d589b5533ef7127839c46 numpy-1.26.2-cp311-cp311-musllinux_1_1_x86_64.whl fb437346dac24d0cb23f5314db043c8b numpy-1.26.2-cp311-cp311-win32.whl 7359adc233874898ea768cd4aec28bb3 numpy-1.26.2-cp311-cp311-win_amd64.whl 207a678bea75227428e7fb84d4dc457a numpy-1.26.2-cp312-cp312-macosx_10_9_x86_64.whl 302ff6cc047a408cdf21981bd7b26056 numpy-1.26.2-cp312-cp312-macosx_11_0_arm64.whl 7526faaea58c76aed395c7128dd6e14d numpy-1.26.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 28d3b1943d3a8ad4bbb2ae9da0a77cb9 numpy-1.26.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl d91f5b2bb2c931e41ae7c80ec7509a31 numpy-1.26.2-cp312-cp312-musllinux_1_1_aarch64.whl b2504d4239419f012c08fa1eab12f940 numpy-1.26.2-cp312-cp312-musllinux_1_1_x86_64.whl 57944ba30adc07f33e83a9b45f5c625a numpy-1.26.2-cp312-cp312-win32.whl fe38cd95bbee405ce0cf51c8753a2676 numpy-1.26.2-cp312-cp312-win_amd64.whl 28e1bc3efaf89cf6f0a2b616c0e16401 numpy-1.26.2-cp39-cp39-macosx_10_9_x86_64.whl 9932ccff54855f12ee24f60528279bf1 numpy-1.26.2-cp39-cp39-macosx_11_0_arm64.whl b52c1e987074dad100ad234122a397b9 numpy-1.26.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1d1bd7e0d2a89ce795a9566a38ed9bb5 numpy-1.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 01d2abfe8e9b35415efb791ac6c5865e numpy-1.26.2-cp39-cp39-musllinux_1_1_aarch64.whl 5a6d6ac287ebd93a221e59590329e202 numpy-1.26.2-cp39-cp39-musllinux_1_1_x86_64.whl 4e4e4d8cf661a8d2838ee700fabae87e numpy-1.26.2-cp39-cp39-win32.whl b8e52ecac110471502686abbdf774b78 numpy-1.26.2-cp39-cp39-win_amd64.whl aed2d2914be293f60fedda360b64abf8 numpy-1.26.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 6bd88e0f33933445d0e18c1a850f60e0 numpy-1.26.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 010aeb2a50af0af1f7ef56f76f8cf463 numpy-1.26.2-pp39-pypy39_pp73-win_amd64.whl 8f6446a32e47953a03f8fe8533e21e98 numpy-1.26.2.tar.gz SHA256 3703fc9258a4a122d17043e57b35e5ef1c5a5837c3db8be396c82e04c1cf9b0f numpy-1.26.2-cp310-cp310-macosx_10_9_x86_64.whl cc392fdcbd21d4be6ae1bb4475a03ce3b025cd49a9be5345d76d7585aea69440 numpy-1.26.2-cp310-cp310-macosx_11_0_arm64.whl 36340109af8da8805d8851ef1d74761b3b88e81a9bd80b290bbfed61bd2b4f75 numpy-1.26.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl bcc008217145b3d77abd3e4d5ef586e3bdfba8fe17940769f8aa09b99e856c00 numpy-1.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3ced40d4e9e18242f70dd02d739e44698df3dcb010d31f495ff00a31ef6014fe numpy-1.26.2-cp310-cp310-musllinux_1_1_aarch64.whl b272d4cecc32c9e19911891446b72e986157e6a1809b7b56518b4f3755267523 numpy-1.26.2-cp310-cp310-musllinux_1_1_x86_64.whl 22f8fc02fdbc829e7a8c578dd8d2e15a9074b630d4da29cda483337e300e3ee9 numpy-1.26.2-cp310-cp310-win32.whl 26c9d33f8e8b846d5a65dd068c14e04018d05533b348d9eaeef6c1bd787f9919 numpy-1.26.2-cp310-cp310-win_amd64.whl b96e7b9c624ef3ae2ae0e04fa9b460f6b9f17ad8b4bec6d7756510f1f6c0c841 numpy-1.26.2-cp311-cp311-macosx_10_9_x86_64.whl aa18428111fb9a591d7a9cc1b48150097ba6a7e8299fb56bdf574df650e7d1f1 numpy-1.26.2-cp311-cp311-macosx_11_0_arm64.whl 06fa1ed84aa60ea6ef9f91ba57b5ed963c3729534e6e54055fc151fad0423f0a numpy-1.26.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 96ca5482c3dbdd051bcd1fce8034603d6ebfc125a7bd59f55b40d8f5d246832b numpy-1.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 854ab91a2906ef29dc3925a064fcd365c7b4da743f84b123002f6139bcb3f8a7 numpy-1.26.2-cp311-cp311-musllinux_1_1_aarch64.whl f43740ab089277d403aa07567be138fc2a89d4d9892d113b76153e0e412409f8 numpy-1.26.2-cp311-cp311-musllinux_1_1_x86_64.whl a2bbc29fcb1771cd7b7425f98b05307776a6baf43035d3b80c4b0f29e9545186 numpy-1.26.2-cp311-cp311-win32.whl 2b3fca8a5b00184828d12b073af4d0fc5fdd94b1632c2477526f6bd7842d700d numpy-1.26.2-cp311-cp311-win_amd64.whl a4cd6ed4a339c21f1d1b0fdf13426cb3b284555c27ac2f156dfdaaa7e16bfab0 numpy-1.26.2-cp312-cp312-macosx_10_9_x86_64.whl 5d5244aabd6ed7f312268b9247be47343a654ebea52a60f002dc70c769048e75 numpy-1.26.2-cp312-cp312-macosx_11_0_arm64.whl 6a3cdb4d9c70e6b8c0814239ead47da00934666f668426fc6e94cce869e13fd7 numpy-1.26.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl aa317b2325f7aa0a9471663e6093c210cb2ae9c0ad824732b307d2c51983d5b6 numpy-1.26.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 174a8880739c16c925799c018f3f55b8130c1f7c8e75ab0a6fa9d41cab092fd6 numpy-1.26.2-cp312-cp312-musllinux_1_1_aarch64.whl f79b231bf5c16b1f39c7f4875e1ded36abee1591e98742b05d8a0fb55d8a3eec numpy-1.26.2-cp312-cp312-musllinux_1_1_x86_64.whl 4a06263321dfd3598cacb252f51e521a8cb4b6df471bb12a7ee5cbab20ea9167 numpy-1.26.2-cp312-cp312-win32.whl b04f5dc6b3efdaab541f7857351aac359e6ae3c126e2edb376929bd3b7f92d7e numpy-1.26.2-cp312-cp312-win_amd64.whl 4eb8df4bf8d3d90d091e0146f6c28492b0be84da3e409ebef54349f71ed271ef numpy-1.26.2-cp39-cp39-macosx_10_9_x86_64.whl 1a13860fdcd95de7cf58bd6f8bc5a5ef81c0b0625eb2c9a783948847abbef2c2 numpy-1.26.2-cp39-cp39-macosx_11_0_arm64.whl 64308ebc366a8ed63fd0bf426b6a9468060962f1a4339ab1074c228fa6ade8e3 numpy-1.26.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl baf8aab04a2c0e859da118f0b38617e5ee65d75b83795055fb66c0d5e9e9b818 numpy-1.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl d73a3abcac238250091b11caef9ad12413dab01669511779bc9b29261dd50210 numpy-1.26.2-cp39-cp39-musllinux_1_1_aarch64.whl b361d369fc7e5e1714cf827b731ca32bff8d411212fccd29ad98ad622449cc36 numpy-1.26.2-cp39-cp39-musllinux_1_1_x86_64.whl bd3f0091e845164a20bd5a326860c840fe2af79fa12e0469a12768a3ec578d80 numpy-1.26.2-cp39-cp39-win32.whl 2beef57fb031dcc0dc8fa4fe297a742027b954949cabb52a2a376c144e5e6060 numpy-1.26.2-cp39-cp39-win_amd64.whl 1cc3d5029a30fb5f06704ad6b23b35e11309491c999838c31f124fee32107c79 numpy-1.26.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 94cc3c222bb9fb5a12e334d0479b97bb2df446fbe622b470928f5284ffca3f8d numpy-1.26.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl fe6b44fb8fcdf7eda4ef4461b97b3f63c466b27ab151bec2366db8b197387841
pyup-bot commented 7 months ago

Closing this in favor of #397